Run AI Faster on Almost Any GPU with ML Drift
Running AI models locally has some big advantages over relying on cloud services. Keeping things local improves privacy, eliminates the need for an internet connection, and reduces latency. But getting those models to run efficiently on consumer hardware isn't always easy, particularly when developers need to support devices with different GPUs, drivers, and software interfaces.
Google is looking to simplify that process with the release of ML Drift, a new open source GPU compute engine designed to accelerate AI inference on everything from smartphones to desktop computers. Developed by the Google AI Edge team, ML Drift supports a wide range of hardware platforms and promises significant performance improvements over existing solutions.
ML Drift is the successor to the GPU delegate previously used by TensorFlow Lite. It now serves as the GPU acceleration engine for Google's LiteRT framework, although developers can also use it independently through its C++ APIs. The...
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